Health: Oncologists Use Big
Data to Advance Cancer Care
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CancerLinQ prototype from American Society of Clinical Oncology aggregates data from contrasting EHRs (Electronic Health Records) to find the most effective therapy for treating different cancer cases.
On March 27, ASCO participated in an interactive discussion on the power of big data to improve health and a demonstration of ASCO's prototype for CancerLinQ™, the Society's planned learning health system for cancer care. A just-completed prototype of the program aggregates data on more than 100,000 breast cancer patients from 27 oncology practices, many of which use different EHR systems.
Hospitals and medical practitioners are looking forward to the agile technology to further improve cancer care by opting for data gleaned from millions of patients
around the States.
The American Society of Clinical Oncology
has completed the prototype for CancerLinQ, a “learning Health System” that collects and mines anonymous patient information to serve as an immediate guide for feedback and regulation. By combining that with expert guidelines and other evidence, ASCO hopes to deliver "real-time, personalized guidance and quality feedback for physicians," according to a press release.
The system collects real-time data directly from electronic health records including lab tests and doctors' notes. It also highlight patient characteristics, treatments and outcomes to further provide physicians with personalized suggestions based on similar cases.
Cancer Case studies divulge key information through clinical trials, which can be useful in determining different treatments in the science of oncology.
Big Data in News
Privacy issues are a major concern with medical information but the organization says the prototype has undergone extensive technological and legal analysis.
Laconic Talk
ASCO's prototype plans to utilize Big Data to::
-- Accept cancer care data directly from any EHR system, as well as other sources such as lab data, genomic profiles and physician notes.
-- Provide clinical decision support to help physicians care for patients with breast cancer, based on automated versions of ASCO's breast cancer guidelines.
-- Enable researchers to explore the database to identify real-world trends and associations.
-- Provide accelerated feedback on physician performance against 10 quality measures from ASCO's Quality Oncology Practice Initiative.
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